Executive Compensation Data Scraper
Pricing
Pay per usage
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Executive Compensation Data Scraper
Pricing
Pay per usage
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Developer

Fortuitous Pirate
Maintained by Community
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2
Total users
1
Monthly active users
4 days ago
Last modified
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Executive Compensation Scraper
Scrapes executive compensation data from SEC DEF 14A proxy filings.
What it does
- Takes a list of stock tickers and years
- Finds DEF 14A proxy filings on SEC EDGAR
- Extracts the Summary Compensation Table
- Returns structured executive compensation data
Input
{"tickers": ["AAPL", "MSFT", "GOOGL"],"years": [2023, 2024]}
| Parameter | Type | Required | Description |
|---|---|---|---|
| tickers | array | Yes | Stock ticker symbols |
| years | array | Yes | Fiscal years to scrape |
Output
Each record contains:
{"ticker": "AAPL","company_name": "Apple Inc.","cik": "0000320193","fiscal_year": 2024,"filing_date": "2024-01-05","executive_name": "Timothy D. Cook","executive_title": "CEO","salary": 3000000,"bonus": 0,"stock_awards": 40000000,"option_awards": 0,"non_equity_incentive": 6000000,"deferred_comp": 0,"other_comp": 1500000,"total_comp": 50500000,"source_url": "https://www.sec.gov/..."}
Usage
# Install dependenciesnpm install# Run locallyecho '{"tickers": ["AAPL"], "years": [2024]}' > storage/key_value_stores/default/INPUT.jsonapify run# View resultscat storage/datasets/default/*.json | jq '.'
Data Source
All data comes from SEC EDGAR public filings (no proxy needed).